Knowledge Base

An AI agent workspace is where AI agents and people work on the same files and canvas. What it is, how it differs from chat, examples, and how to pick one.

Learn how Prototyper uses composable, atomic components to let you build interfaces faster. Understand the architecture that makes AI-powered design work.

A complete guide to prompting AI for UI design: how to describe interfaces so agents build what you mean, from atomic prompts to iterative refinement.

Learn how to write effective AI prompts that generate better UI designs in Prototyper. Practical tips, examples, and common mistakes to avoid.

Learn how to write atomic prompts that combine into complex UI designs. Transform your prompt to UI workflow with composable design patterns.

Learn AI UI design tips for iterative prompting. Build context across sessions and refine designs progressively for better results.

Write effective AI prompts for UI design by focusing on outcomes instead of instructions. Learn when to constrain and when to let AI explore.

What a wireframe is, why low fidelity still matters in the age of AI, and how to go from a rough sketch to a working screen without switching tools.

A practical wireframing walkthrough: inventory content, sketch the flow, draw grey boxes, annotate behavior, and create a structure your team can test.

The three artifacts everyone confuses: what a wireframe, a mockup, and a prototype each decide, how they differ, and when you can skip one entirely.

What separates a lo-fi wireframe from a hi-fi one, which decisions each is good for, and why fidelity works better as a dial than a ladder.

Learn how AI wireframing works: generate from a sentence, sketch first, steer by pointing, and turn the winning wireframe into a working screen.

What a prototype is, why so many prototypes lie, and what changes when the prototype is real running software instead of a clickable picture.

A practical guide to rapid prototyping: shorten the idea-to-test loop, build the risky slice first, and learn faster with working software.

A prototype exists to answer a question. An MVP exists to serve real users. Mixing them up costs months. Here is how to tell them apart and when to build each.

What interactive really means in a prototype, what clickable facades can and cannot teach you, and why the default is shifting to prototypes that actually run.

AI app development means describing an app and letting an AI agent write the code. How it works, the tools, what it costs, and when to use what.

Learn how AI app builders work and how to create functional applications without coding. Compare tools, see examples, and start building today.

Learn how to create an app from scratch, even without coding experience. Covers planning, design, building, and launching your first application.

Master no-code app development with this practical guide. Learn which tools to use, when no-code works best, and how to build production-ready applications.

Learn the anatomy of landing pages that convert. Step-by-step breakdown of every section, from hero to footer, with examples you can build in Prototyper.

What it costs to build an app with AI in 2026: the agent, the building tool, hosting and people, with prices as of 30 Oct 2026 and three sample budgets.

Should you build with an AI app builder or hire a developer? When each one wins, what a developer adds to an AI-built app, and how to hand the code over.

Build an app with Claude Code, step by step: install it, describe the app, see it run, and commit it. Quoted from Anthropic's docs, read 31 Oct 2026.